Smart Management System of Employment in Universities Based on Big Data Collection and Intelligent Analysis

Jing Lei, Gengsheng Huang
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Abstract

With the rapid development of information technology, college enrollment expansion has become more and more common. A large number of students to expand the source of employment of college graduates in recent years, so the university began to use the system software to achieve intelligent management of employment information. In the actual statistical process, statisticians are required to establish a scientific and effective data screening mode, which includes intelligent screening and manual screening. At the same time, intelligent screening has been called the inevitable choice of data statistics work. As big data covers more and more extensive fields and deals with more and more in-depth businesses, data types become more and more complex and diverse. With the help of big data tools and data intelligent analysis methods, this paper constructs an intelligent employment management system in colleges and universities.
基于大数据采集与智能分析的高校就业智能管理系统
随着信息技术的飞速发展,高校扩招已成为越来越普遍的现象。近年来大量的大学生扩大了高校毕业生的就业来源,因此高校开始使用系统软件来实现对就业信息的智能化管理。在实际统计过程中,要求统计人员建立科学有效的数据筛选模式,包括智能筛选和人工筛选。同时,智能筛选也被称为数据统计工作的必然选择。随着大数据覆盖的领域越来越广泛,涉及的业务越来越深入,数据类型也越来越复杂多样。本文借助大数据工具和数据智能分析方法,构建了高校智能用工管理系统。
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